Top PDF Modeling And Simulation Of 14 DOF Vehicle Dynamics

Modeling And Simulation Of 14 DOF Vehicle Dynamics

Modeling And Simulation Of 14 DOF Vehicle Dynamics

v ABSTRACT An accurate vehicle model is important to represent the behavior of the vehicle. There are many vehicle models built for the study of the vehicle dynamics specifically for the ride and handling behavior. This project describes the vehicle model development of the vehicle model to study the behavior of the vehicle. The derivation of a 14 DOF vehicle model consisting of ride, handling and tire model is presented. Three types of tire model namely Calspan, Dugoff and Magic Formula is developed in the Simulink and their performance for longitudinal force, lateral force and aligning moment was investigated and compared with the CarsimEd outputs.
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Six-DOF Modeling and Simulation for Generic Hypersonic Vehicle in Reentry Phase

Six-DOF Modeling and Simulation for Generic Hypersonic Vehicle in Reentry Phase

1. Introduction The purpose of this research is to model a hypersonic vehicle in the reentry phase. Due to variations of wide speed and altitude range, there are some unique features of hypersonic vehicles and complex flight dynamic characteristics, which are not existent with conventional airplanes, such as strong nonlinearity, strong coupling and large envelope. While flight dynamics modeling of hypersonic vehicles is of prime importance for the design and simulation of control, the wide-range maneuver, the complex aerodynamic characteristics and the mutual coupling of aerodynamics and motion of a hypersonic vehicle contribute greatly to the strong uncertainty of its aerodynamics, which is a great challenge to the dynamic analysis and control law design. So we need to establish a set of 6-DOF nonlinear dynamic model for the purpose of better reflecting the flight characteristics and dynamic quality, making a comprehensive of the over-all characteristics of hypersonic vehicles.
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Vertical Dynamics Modeling and Simulation of a Six-Wheel Unmanned Ground Vehicle

Vertical Dynamics Modeling and Simulation of a Six-Wheel Unmanned Ground Vehicle

Vertical dynamics modeling and simulation of a six-wheel unmanned military vehicle (MULE) studied in this paper. The Common Mobility Platform (CMP) chassis provided mobility, built around an advanced propulsion and articulated suspension system gave the vehicle ability to negotiate complex terrain, obstacles, and gaps that a dismounted squad would encounter. Aiming at modeling of vehicle vertical dynamics, basic and geometrical parameters defined and degrees-of-freedom specified on a compromise between accuracy and complexity of two models. Equations of motion provided on two linear and nonlinear 5-degree-of- freedom models using two different modeling methods. There is good agreement between time responses of two presented models. The main differences of two models observed in articulated suspension degrees-of- freedom while the vehicle subjected to high frequency maneuvers that cause severe oscillations on wheels and arms in comparison to vehicle body due to lower mass and inertia properties. The linear model can be used to design a controller and the nonlinear to predict vehicle motion more accurately. Sensitivity analysis of the influential parameters is also presented to specify effects of different parameters. Results of this study may be used to design articulated suspension and making next frequency analyses.
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SLS Vehicle Modeling and Simulation

SLS Vehicle Modeling and Simulation

Using discrete event simulation to model the operations process, assembly, test, etc. To optimize the flow, understand the long poles in the tent, and understand how long each operation will take. Modeling of solid rocket booster options using stick traces and

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Modeling and Simulation of Cavitation Noise of Supercavitating Vehicle

Modeling and Simulation of Cavitation Noise of Supercavitating Vehicle

. Figure 2. The simulated power spectrum of cavitation noise of bubble cluster with different parameters. Summary In this paper, the modeling and simulation research on cavitation noise characteristics of supercavitating vehicle is carried out. The cavitation theory and formation mechanism of supercavitating vehicle are introduced. The formation process of cavitation noise is expounded in theory. The single bubble collapse radiation noise model is established. On this basis, the cavitation noise model of the bubble cluster is established for the Rayleigh distributed bubble radius. The characteristics of cavitation noise under the conditions of different bubble numbers and mean radius are simulated and analyzed. The results provide a certain reference value for the study of the characteristics of the radiation noise of supercavitating vehicle.
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Modeling and Simulation of Vehicle Performance in a UAV Swarm Using Horizon Simulation Framework

Modeling and Simulation of Vehicle Performance in a UAV Swarm Using Horizon Simulation Framework

1.4 Thesis Statement Horizon Simulation Framework (HSF) provides aerospace students a platform for evaluating performance and optimizing task scheduling for different types of scenarios through modeling and simulation of a system. The current HSF iteration tailors the platform to focus on space systems which heavily relies on the scheduling algorithm to optimize tasks because future position and velocity states can be predetermined. The work described throughout this document expands on the software capabilities of HSF to include an airborne system scenario, where a swarm of large fixed-wing unmanned aerial vehicles (UAVs) are controlled through digital pheromones, to search for a missing hiker, or for the swarm to fly a holding pattern at a designated location to asses the containment of a brush fire. A constraint relating to the use of a fixed- wing aircraft is the range of turn direction possibilities. They are limited to a smaller turn scope as compared to a particle swarm element or rotorcraft that may turn in almost any direction on the pheromone map. Since an airborne system’s dynamic state cannot be predicted, similar to an orbital trajectory, all tasks are assigned dynamically at every time step throughout the simulation. The swarm behavior and flight performance of each vehicle can be analyzed through the HSF output files after running a simulation scenario.
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Molecular Dynamics Modeling and Simulation of Diamond Cutting of Cerium

Molecular Dynamics Modeling and Simulation of Diamond Cutting of Cerium

Conclusions In summary, we perform MD modeling and simulation to elucidate the underlying mechanisms of cerium under the ultra-precision diamond cutting. The EAM and Morse potentials are respectively employed to describe atomic interactions within cerium workpiece and the in- teractions between cerium workpiece and diamond cut- ting tool. The elastic constants, mechanical properties, and propensity of phase transformation of cerium phases are evaluated, which demonstrates the feasibility of pre- dicting phase transformation of cerium by the current established MD model. Subsequent MD simulations of diamond cutting reveal that the plastic deformation of cerium is governed by dislocation nucleation and subse- quent glide, which is similar with other fcc metals. In addition, there is γ ➔ δ phase transformation occurred within both machined surface and formed chip. It is found that high quality of machined surface and low ma- chining force can be achieved in the diamond cutting of cerium with the optimal machining conditions, i.e., a rake angle of 30° for a crystal orientation of (010).
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Flight Dynamics Modeling and Simulation of a Damaged Transport Aircraft

Flight Dynamics Modeling and Simulation of a Damaged Transport Aircraft

Melissa A. Hill 2 Unisys Corporation, Hampton VA 23666 A study was undertaken at NASA Langley Research Center to establish, demonstrate, and apply methodology for modeling and implementing the aerodynamic effects of MANPADS damage to a transport aircraft into real-time flight simulation, and to demonstrate a preliminary capability of using such a simulation to conduct an assessment of aircraft survivability. Key findings from this study include: superpositioning of incremental aerodynamic characteristics to the baseline simulation aerodynamic model proved to be a simple and effective way of modeling damage effects; the primary effect of wing damage – rolling moment asymmetry – may limit minimum airspeed for adequate controllability, but this can be mitigated by the use of sideslip; combined effects of aerodynamics, control degradation, and thrust loss can result in s ignificantly degraded controllability for a safe landing; and high landing speeds may be required to maintain adequate control if large excursions from the nominal approach path are allowed, but high-gain pilot control during landing can mitigate this risk.
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Modeling and Simulation of Adaptive Surface Tracked Vehicle Based on RecurDyn

Modeling and Simulation of Adaptive Surface Tracked Vehicle Based on RecurDyn

large-scale multi-body contact problems. RecurDyn pro- vides a rich toolkit application subsystem with the char- acteristic of a fast and convenient modeling and solving process on the bases of parameterization, modular mod- eling technology and professional knowledge and ex- perience. In this paper, the toolkit is track package. The various components of the tracked vehicle are defined as a rigid body or flexible body through various constraints in combination to quickly establish a simulation of tracked vehicle model and various forms of kinematics simula- tion [7,8].
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Modeling and Autonomous Flight Simulation of a Small Unmanned Aerial Vehicle

Modeling and Autonomous Flight Simulation of a Small Unmanned Aerial Vehicle

Modeling and Autonomous Flight Simulation of a Small Unmanned Aerial Vehicle T. A. M. Abdunabi * , M. El-Gelani ** , N. M. Nasr *** Abstract: This paper describes the use of FlightGear, an open-source flight simulator, and JSBSim, an open source flight dynamics model, to model and simulate a small autonomous Unmanned Aerial Vehicle (UAV). A small commercial electric engine Cessna-182 radio controlled (RC) aircraft was chosen to represent the UAV. The first step was to create the required JSBSim aircraft configuration files by using the Aeromatic v0.8, a free web application to create aircraft configuration files for use with the JSBSim. The next step was to make educated guesses to refine important sections in the created configuration files with the assistance of available data of similar UAV. In order to perform a visual simulation, a 3D model for the Cessna-182 (RC) was created using AC3D, a commercial 3D modeling software tool. To fly the modeled UAV autonomously a tuning process was made for the built-in generic PID (proportional, integral, and derivative) autopilot of FlightGear, which has the ability to hold aircraft velocity, vertical aircraft speed, altitude, pitch angle, angle of attack, bank angle, and true heading. Finally, a flight path, which contains a number of waypoints chosen over a selected area using Google Earth map, was constructed. In order to use the chosen waypoints with FlightGear navigation system, a unique ID was assigned to each waypoint, and the FlightGear database was altered to include the new waypoints with their IDs. The outcome of the paper was a complete JSBSim flight dynamic model for the Cessna-182 (RC), with 3D model for visual simulation and an effective autopilot. A good autonomous flight simulation was performed. This paper concluded that modeling and simulating a UAV accurately is not an easy task, due to the need to calculate many parameters either by physical measurements, experiments, or estimation from available data of similar UAV, or by software tools.
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Homology Modeling, Molecular Dynamics Simulation and Essential Dynamics on Anopheles gambiae D7r1

Homology Modeling, Molecular Dynamics Simulation and Essential Dynamics on Anopheles gambiae D7r1

Centre for Bioinformatics, School of Life Sciences, Pondicherry University, India Copyright©2017 by authors, all rights reserved. Authors agree that this article remains permanently open access under the terms of the Creative Commons Attribution License 4.0 International License Abstract The proteins produced by the saliva and salivary glands of blood sucking arthropods play a vital role in transmission of the infected parasite to host and interfere the parasitic life cycle. The structure prediction of D7r1 and its active site leads to inhibition of hemostasis and inflammation in the host. D7r1 is a member of D7-related (D7r) salivary gland proteins that interferes various aspects of host physiology. Considering the significance of a protein, three dimensional structure of D7r1 model was generated by homology modeling and validated by PROCHECK, ERRAT, Verify-3D, RAMPAGE and Q mean server. The predicted structure has 96.9% of residues in the most favored region of the Ramachandran plot. The sequence and structural alignment between D7r1 and template 2PQL reveals that similar active site residues such as Ile42, Arg43, Tyr45, His56, Met57, Val60, Phe131, and Met156 involved in binding pocket formation. Further, a molecular dynamics simulation study was performed to reveal the prolonged stability of D7r1 protein. The essential dynamics which include PCA and FEL analysis were used to evaluate the conformational stability of D7r1. This combined molecular dynamics simulation and essential dynamics were used to provide comprehensive information of D7r1 and its active site prediction gain insights into the development of novel lead molecules for disrupting host-seeking behavior of mosquitoes.
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Software Development and Testing: A System Dynamics Simulation and Modeling Approach

Software Development and Testing: A System Dynamics Simulation and Modeling Approach

SA-2, Bannerghatta Road, Bangalore. Pin- 560078 INDIA. Email: ksaurab5@in.ibm.com, kumar.davv@gmail.com Abstract: - Software-development and testing is a complex activity that often shows signs of contradicting instinctive activities, in that outcomes can vary drastically with deliberate consequences. Software-development and testing has many complexities, including dynamic behavior and feedback mechanisms, as well as various interacting factors. System dynamics is a modeling methodology that is well suited to explaining the root causes of contradicting instinctive activities — through its focus on building a simulation model that reflects causal relationships, feedback and delays. The production of a high quality software product requires application of both defect prevention and defect detection techniques. A common defect detection strategy is to subject the product to several phases of testing such as unit, integration, and system. These testing phases consume significant project resources and cycle time. As software companies continue to search for ways for reducing cycle time and development costs while increasing quality, software testing processes emerge as a prime target for investigation. This paper presents a system dynamics model of software development, better understanding testing processes.
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Complex system simulation: agent-based modeling and system dynamics

Complex system simulation: agent-based modeling and system dynamics

incremental R&D approach which must match to their revenue flow. Over time, the R&D will become a continuous-improvement approach. Time to market is lower because the de- ployment cycles are shorter and the new functionalities are marketed and delivered online. Another important advantage is that the capital invested for R&D is small. Indeed, the mar- ket response to the different products can be tested, and only after, the decision of investing large amount of capital can be taken into account. On the contrary On-Premise vendors invest large quantities of capital for R&D and develop and maintain multiple versions of a product to run on different platforms. In addition, SaaS vendors with recurring and pre- dictable revenues can estimate their revenue flux and plan better their future business. It is clear that modeling a software house is not easy; there are many aspects to consider and many of them are very difficult to model. For this reason, implementing all the aspects char- acterizing a software vendor is impossible. In the next sections, we present in detail how we modelled a software vendor, its activities and its interaction with customers. Many are the semplification done, and so the products, the investment and pricing policies, and purchase choices of the customers modelled in this work, represent an ideal model which aimed to simulate the behaviour of the different agents in the complex system of the software market. In the following, we present the modeling, simulation and implementation of the CRM software market. In particular, we modelled: traditional software or On-Premise vendors (OP), whose pricing model is that of the perpetual lincense, and On-Demand vendors (OD) which follow the Software as a Service pricing model [ 18 ].
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Modeling and 
		simulation of split plug in hybrid electric vehicle using advisor

Modeling and simulation of split plug in hybrid electric vehicle using advisor

With increasing concern over the environment and ever stringent emissions regulations, the electric vehicle has been investigated as an alternative form of transportation. However, the electric vehicle suffers from relatively short range and long charging times and consequently has not become an acceptable solution to the automotive consumer. The addition of an internal combustion engine to extend the range of the electric vehicle is one method of exploiting the high efficiency and lack of emissions of the electric vehicle while retaining the range and convenient refueling times of a conventional gasoline powered vehicle. The term that describes this type of vehicle is a hybrid electric vehicle. Many configurations of hybrid electric vehicles have been designed and implemented, namely the series, parallel and power-split configurations. This paper discusses the modeling and simulation of split plug-in hybrid electric vehicles. Modeling methods such as physics-based Resistive Companion Form technique and Bond Graph method are presented with powertrain component and system modeling examples. The modeling and simulation capability of existing tools such as ADvanced VehIcle SimulatOR (ADVISOR) is demonstrated through application examples. Since power electronics is indispensable in hybrid vehicles, the issue of numerical oscillations in dynamic simulations involving power electronics is briefly addressed.
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Signal Analysis, Modeling and Simulation of Vehicle Crash Dynamics

Signal Analysis, Modeling and Simulation of Vehicle Crash Dynamics

Chapter 4. Signal Analysis 31 crash pulse and the car kinematics that include the velocity and dynamic crush. The velocity and the displacement of the vehicle impact is obtained by integrating the approximated crash pulse. One of the facts to be considered here is that the experimental setup was for a front impact and the most relevant graph was the one in X direction, however the accelerometers recorded some crash pulse in Y and Z directions that needs to be taken into account. The acceleration data was input into the Curve Fitting Toolbox and Gaussian approximation was used as it is shown in Figure 4.6 and polynomial function curve fitting is used for comparison which is shown in Figure 4.7. These graphs show the accelerations, velocities and dynamic crushes of the vehicle during the impact in the X-axis direction(all the graphs are of high resolution, for a better view, zoom to see the specified area of target). It can be seen in both figures that the initial velocity is not equal to 35km/h as stated in the experiment description. The speed shows to be about 3km/h higher. This discrepancy is a result of using raw data - without filtering. On the same graphs the maximum dynamic crush and the time of occurrence are also shown. At time zero the front panel of the car was in contact with the rigid obstacle at 35 km/h. The velocity of the car decrease rapidly and the displacement viewed from the X-axis increased. The maximum dynamic crush happens at the point where the decreasing velocity of the vehicle reaches zero value from the initial velocity. The vehicle is shown to have maximum dynamic crush of 59.11 cm. The maximum dynamic crush occurred at time of 86.11 ms. After the maximum crush occurrence the car started to slowly rebound.
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Modeling, Simulation And Validation Of Reduced Scale Vehicle Dynamics Model

Modeling, Simulation And Validation Of Reduced Scale Vehicle Dynamics Model

F yfr = Front right tire lateral force F yrl = Rear left tire lateral force F yrr = Rear right tire lateral force F zfl = Front left tire normal force F zfr = Front right tire normal force F zrl = Rear left tire normal force F zrr = Rear right tire normal force m T = Total mass of vehicle m s = Sprung mass

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Modeling and Simulation of 5 DOF Educational Robot Arm

Modeling and Simulation of 5 DOF Educational Robot Arm

helaydi@iugaza.edu.ps Abstract - Many universities and institutes experience difficulty in training people to work with expensive equipments. A common problem faced by educational institutions concerns the limited availability of expensive robotics equipments, with which students in the didactic program can work, in order to acquire valuable "ha nds on" experience. Therefore, the Robot Simulation Software (RSS) nowadays is paramount important.

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System Modeling and Simulation of an Unmanned Aerial Underwater Vehicle

System Modeling and Simulation of an Unmanned Aerial Underwater Vehicle

no well accepted generic methodology that can be used for system modeling due to the fact that there are numerous challenges regarding the various configurations [13]. In addition, the system dynamics of UUVs has also been paid increasing attention by researchers. With the development of modern marine researches, many intelligent marine equipment, such as surface ships, semi-submarines, unmanned submarines and deep-sea robots, have been developed in all aspects. In particular, the underwater autonomous vehicles are facing unknown and hazardous environments, and their research and deployment have been regarded as one of significant goals and challenges by human beings. Therefore, an UUV with autonomous control should have capability to perceive its own position as well as its environment and react to unexpected or dynamic circumstances properly [14,15]. In addition, the system models of different shape configurations, such as open structure, torpedo-like and multi-thruster, are studied respectively [16,17]. Thruster fault detection and the isolation method and switching control of multi-thruster have been discussed [18,19].
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B.W. Bequette -Process Dynamics- Modeling, Analysis and Simulation

B.W. Bequette -Process Dynamics- Modeling, Analysis and Simulation

One of the goals of this textbook is to develop numerical analysis techniques that allow liS to "simulate" the behavior of a chemical process, Typically, steady-state simulation [r]

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System Dynamics Simulation Modeling of Transport, Energy and Emissions Interactions

System Dynamics Simulation Modeling of Transport, Energy and Emissions Interactions

In this study, a System Dynamics model relating Transport, Energy and Emission sectors has been built. Data relating to Transport Energy usage in the present scenario has been collected and simulated to find the future Energy demand in the Transport sector. The level of emissions from the present and future simulated levels of traffic has also been identified. The model has been subjected to various scenario analysis aimed at studying the interaction between Transport, Energy and Emissions of the study area under various conditions. The impacts of the policies framed by the government to achieve sustainability in Transportation with respect to economic development have been analyzed at a macro level. A comparison of the results under various scenario options has been carried out to determine the advantages of the policy measures to be adopted. Based on the results, suitable recommendations of policies have been provided. The impact of Transport, Energy and Emission on the Economy of the nation can also be studied in detail based on the results obtained. Also further research could be carried out to determine the advantages of using Alternate fuels instead of Petrol and Diesel and the advantages of adopting EURO VI emission norms in the near future. The impact of these scenarios on the economy of the nation can also be analyzed.
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